- ProD : a tool for predictive design of tailored promoters in Escherichia coli(2022)
Series: Methods in Molecular Biology
Auteurs: Friederike Mey, Jim Clauwaert, Maarten Van Brempt, Michiel Stock, Jo Maertens, Willem Waegeman, Marjan De Mey, Eveline Peeters, Indra Bervoets
Pagina's: 51 - 59
- Explainability in transformer models for functional genomics(2021)
Auteurs: Jim Clauwaert, Gerben Menschaert, Willem Waegeman
- Improving the performance of machine learning models for biotechnology : the quest for deus ex machina(2021)
Auteurs: Friederike Mey, Jim Clauwaert, Kirsten Van Huffel, Willem Waegeman, Marjan De Mey
- Predictive design of sigma factor-specific promoters(2020)
Auteurs: Maarten Van Brempt, Jim Clauwaert, Friederike Mey, Michiel Stock, Jo Maertens, Willem Waegeman, Marjan De Mey
- DeepRibo : a neural network for precise gene annotation of prokaryotes by combining ribosome profiling signal and binding site patterns(2019)
Auteurs: Jim Clauwaert, Gerben Menschaert, Willem Waegeman
- The use of shallow convolutional neural networks in predicting promotor strength in Eschericha coli(2017)
Auteurs: Jim Clauwaert, Michiel Stock, Marjan De Mey, Willem Waegeman
Aantal pagina's: 1
- Deep learning techniques for genome processing and annotation tasks in prokaryotes
Auteurs: Jim Clauwaert
- DeepRibo : precise gene annotation of prokaryotes using deep learning and ribosome profiling data
Auteurs: Jim Clauwaert
Aantal pagina's: 1
- Novel transformer networks for improved sequence labeling in genomics
Auteurs: Jim Clauwaert
Pagina's: 97 - 106
- CpG transformer for imputation of single-cell methylomes
Auteurs: Gaetan De Waele, Jim Clauwaert
Pagina's: 597 - 603
